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Knowledge-guided Pretext Learning for Utero-placental Interface Detection
Modern machine learning systems, such as convolutional neural networks rely on a rich collection of training data to learn discriminative representations. In many medical imaging applications, unfortunately, collecting a large set of well-annotated data is prohibitively expensive. To overcome data s...
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| Publicat a: | Med Image Comput Comput Assist Interv |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7610196/ https://ncbi.nlm.nih.gov/pubmed/33163992 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59710-8_57 |
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